calibre/recipes/hbr.recipe
2025-01-24 11:14:14 +01:00

192 lines
6.9 KiB
Python

#!/usr/bin/env python
# vim:fileencoding=utf-8
import json
import re
from collections import OrderedDict
from urllib.parse import urlencode, urljoin
from mechanize import Request
from calibre import browser, random_user_agent
from calibre.web.feeds.news import BasicNewsRecipe, classes
class HBR(BasicNewsRecipe):
title = 'Harvard Business Review'
__author__ = 'unkn0wn, updated by ping'
description = (
'Harvard Business Review is the leading destination for smart management thinking. '
'Through its flagship magazine, books, and digital content and tools published on HBR.org, '
'Harvard Business Review aims to provide professionals around the world with rigorous insights '
'and best practices to help lead themselves and their organizations more effectively and to '
'make a positive impact.'
)
language = 'en'
masthead_url = 'https://hbr.org/resources/css/images/hbr_logo.svg'
publication_type = 'magazine'
encoding = 'utf-8'
remove_javascript = True
no_stylesheets = True
auto_cleanup = False
compress_news_images = True
ignore_duplicate_articles = {'url'}
base_url = 'https://hbr.org'
remove_attributes = ['height', 'width', 'style']
extra_css = '''
h1.article-hed { font-size: x-large; margin-bottom: 0.4rem; }
.article-dek { font-size: large; font-style: italic; margin-bottom: 1rem; }
.article-byline { margin-top: 0.7rem; font-size: medium; font-style: normal; font-weight: bold; }
.pub-date { font-size: small; margin-bottom: 1rem; }
img {
display: block; margin-bottom: 0.3rem; max-width: 100%; height: auto;
box-sizing: border-box;
}
.container--caption-credits-hero, .container--caption-credits-inline, span.credit { font-size: small; }
.question { font-weight: bold; }
.description-text {
margin: 1rem 0;
border-top: 1px solid gray;
padding-top: 0.5rem;
font-style: italic;
}
'''
keep_only_tags = [
classes(
'headline-container article-dek-group pub-date hero-image-content '
'article-body standard-content'
),
]
remove_tags = [
classes(
'left-rail--container translate-message follow-topic '
'newsletter-container by-prefix related-topics--common'
),
dict(name=['article-sidebar']),
]
def preprocess_raw_html(self, raw_html, article_url):
soup = self.soup(raw_html)
# break author byline out of list
byline_list = soup.find('ul', class_='article-byline-list')
if byline_list:
byline = byline_list.parent
byline.append(
', '.join(
[
self.tag_to_string(author)
for author in byline_list.find_all(class_='article-author')
]
)
)
byline_list.decompose()
# Extract full article content
content_ele = soup.find(
'content',
attrs={
'data-index': True,
'data-page-year': True,
'data-page-month': True,
'data-page-seo-title': True,
'data-page-slug': True,
},
)
endpoint_url = 'https://hbr.org/api/article/piano/content?' + urlencode(
{
'year': content_ele['data-page-year'],
'month': content_ele['data-page-month'],
'seotitle': content_ele['data-page-seo-title'],
}
)
data = {
'contentKey': content_ele['data-index'],
'pageSlug': content_ele['data-page-slug'],
}
headers = {
'User-Agent': random_user_agent(),
'Pragma': 'no-cache',
'Cache-Control': 'no-cache',
'Content-Type': 'application/json',
'Referer': article_url,
}
br = browser()
req = Request(
endpoint_url,
headers=headers,
data=json.dumps(data),
method='POST',
timeout=self.timeout,
)
res = br.open(req)
article = json.loads(res.read())
new_soup = self.soup(article['content'])
# clear out existing partial content
for c in list(content_ele.children):
c.extract() # use extract() instead of decompose() because of strings
content_ele.append(new_soup.body)
return str(soup)
recipe_specific_options = {
'issue': {
'short': 'Enter the Issue Number you want to download ',
'long': 'For example, 2403'
}
}
def parse_index(self):
d = self.recipe_specific_options.get('issue')
if not (d and isinstance(d, str)):
soup = self.index_to_soup(f'{self.base_url}/magazine')
a = soup.find('a', href=lambda x: x and x.startswith('/archive-toc/'))
cov_url = a.find('img', attrs={'src': True})['src']
self.cover_url = urljoin(self.base_url, cov_url)
issue_url = urljoin(self.base_url, a['href'])
else:
issue_url = 'https://hbr.org/archive-toc/BR' + d
mobj = re.search(r'archive-toc/(?P<issue>(BR)?\d+)\b', issue_url)
if mobj:
self.cover_url = f'https://hbr.org/resources/images/covers/{mobj.group("issue")}_500.png'
self.log('Downloading issue:', issue_url)
soup = self.index_to_soup(issue_url)
issue_title = soup.find('h1')
if issue_title:
self.timefmt = f' [{self.tag_to_string(issue_title)}]'
feeds = OrderedDict()
for h3 in soup.find_all('h3', attrs={'class': 'hed'}):
article_link_ele = h3.find('a')
if not article_link_ele:
continue
article_ele = h3.find_next_sibling(
'div', attrs={'class': 'stream-item-info'}
)
if not article_ele:
continue
title = self.tag_to_string(article_link_ele)
url = urljoin(self.base_url, article_link_ele['href'])
authors_ele = article_ele.select('ul.byline li')
authors = ', '.join([self.tag_to_string(a) for a in authors_ele])
article_desc = ''
dek_ele = h3.find_next_sibling('div', attrs={'class': 'dek'})
if dek_ele:
article_desc = self.tag_to_string(dek_ele) + ' | ' + authors
section_ele = (
h3.findParent('li')
.find_previous_sibling('div', **classes('stream-section-label'))
.find('h4')
)
section_title = self.tag_to_string(section_ele).title()
feeds.setdefault(section_title, []).append(
{'title': title, 'url': url, 'description': article_desc}
)
return feeds.items()